Unveiling ADHD’s impact on higher education students: statistics anxiety, attitudes, and statistical literacy by Chen Hanna Ryder, Carmit Gal, Miriam Sarid, Anat Klemer

“…Multiple regression analysis revealed that attitudes toward statistics and academic degree were significant predictors of statistical literacy.ConclusionAlthough students with ADHD experience heightened anxiety and maintain less favorable attitudes toward statistics, they remarkably achieve performance levels comparable to their non-ADHD peers. …”
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Statistics on Differences in the Institutional Composition of the National Economy and Issues Related to its Harmonization by O. V. Morozov, A. G. Biryukov, M. A. Vasiliev

“…The methodological basis of the research is formed by works on modular theory of society, public sector economy, and structural harmony of systems. Tabular methods of visualization of research results and statistical methods of source data processing were used. …”
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A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

“…Aiming at the problem of accuracy degradation caused by the mixing of spatiotemporal disturbance patterns in sound speed profile (SSP) inversion using the traditional geographic grid division method, this study proposes an acoustic stability pre-clustering framework that integrates principal component analysis and machine learning clustering. …”
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Publication Trends on the Varying Coefficients Model: Estimating the Actual (Under)Utilization of a Highly Acclaimed Method for Studying Statistical Interactions by Assaf Botzer

“…Hence, one would expect high acceptance of the VCM as a tool for studying statistical interactions in datasets. Yet, the current paper shows that the VCM is still struggling to migrate from journals in which methods are presented to journals in which methods are utilized. …”
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Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate Entropy Statistic Characteristic in Vehicle Running State by Shuan-Feng Zhao, Wei Guo, Chuan-wei Zhang

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Reporting the standard error of the mean: a critical analysis of three journals in manual medicine by Alen Manovic, Ebba Immelsjö, Iben Axen, Per J. Palmgren

“…Methods In this critical analysis, all articles in three journals – BMC Chiropractic and Manual Therapies (CMT), Journal of Manipulative and Physiological Therapeutics (JMPT) and Musculoskeletal Science and Practice: An International Journal of Musculoskeletal Physiotherapy (MSP) – published between 2017 and 2019 were analysed based on descriptive statistics that inappropriately or vaguely reported SEMs. …”
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Statistical Confrontation of the Evolution of Tourism in the North East Region in Comparison with the other Regions of Romania by Gabriela Arionesei, Cristian-Valentin Hapenciuc, Mihai Costea

“…The research was performed through a system of tourism indicators applied in the Romanian regions, obtained from the National Institute of Statistics. This comparative analysis was carried out using the statistical method called ANOVA and the Post Hoc – Games-Howell test. …”
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Comparative experimental study of different bearings vibration using FFT and statistical feature extraction by Wafa Abd Soud, Baqer Ihsan A.

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Analysis and forecasting of the dynamics of the gross domestic product per capita by purchasing power parity in Russia by M. O. Govallo, D. D. Lobanova, L. A. Davletshina

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Progress in the Application of Chemometrics in the Field of Food Flavor by ZHANG Qian, HAN Haoying, MENG Fanyu, WANG Yadong, WANG Bei, JIANG Tao

“…Therefore, this article summarizes the statistical analysis methods available to study food flavor, including principal component analysis, linear discriminant analysis, linear regression methods such as partial least squares regression, and nonlinear methods such as fuzzy logic and artificial neural networks, explains their principles and provides application examples. …”
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The concept of fractured rock-mass modeling using DFN-based statistical volume elements by Martin Lebeda, Petr Kabele

“…In the present work, we examine the applicability of the statistical volume element (SVE) approach to determining the apparent stiffness tensor of an equivalent continuum representation of the fractured rock, which is then used in the framework of the finite element method. …”
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Evaluation of organic matters, hydrocarbon potential and thermal maturity of source rocks based on geochemical and statistical methods: Case study of source rocks in Ras Gharib oil... by Mohamed M. El Nady, Fatma S. Ramadan, Mahmoud M. Hammad, Nira M. Lotfy

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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

“…Program similarity analysis had a wide range of applications in areas such as code plagiarism and property protection, but it generally suffered from problems such as excessive computational overhead, a code similarity analysis method based on fuzzy matching and statistical inference was proposed. …”
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Statistical model for assessing the reliability of non-destructive testing systems by solving inverse problems by A. E. Alexandrov, S. P. Borisov, L. V. Bunina, S. S. Bikovsky, I. V. Stepanova, A. P. Titov

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Generalized Gumbel model for r-largest order statistics, with an application to peak streamflow by Yire Shin, Jeong-Soo Park

“…Abstract The effective use of available information in extreme value analysis is critical because extreme values are scarce. …”
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Geographic Origin Tracing and Variety Authentication of Vietnamese Mangoes (Mangifera indica L.) Using ICP–MS and Statistical Analysis by Bui Quang Minh, Tran Ha Minh Duc, Le Van Nhan, Le Viet Anh, Nguyen Hoang Khanh, Nguyen Ngoc Tung, Hoang Minh Tao, Nguyen Tien Dat, Nguyen Quang Trung, Nguyen Bich Ngoc, Nguyen Van Khanh, Truong Ngoc Minh

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Multivariable modelling based on statistical and machine learning techniques for monthly precipitation forecasting in the eastern Amazon by Renata Gonçalves Tedeschi, Eduardo Costa de Carvalho, Antonio Vasconcelos Nogueira Neto, Claudia Priscila Wanzeler da Costa, Julio Cezar Goncalves de Freitas, Julio Cezar Goncalves de Freitas, Rafael de Lima Rocha, Rafael de Lima Rocha, Ronnie Cley de Oliveira Alves, Ronnie Cley de Oliveira Alves, Ewerton Cristhian Lima de Oliveira

“…In recent years, machine learning (ML) techniques have proven invaluable in improving the accuracy of rainfall prediction and identifying the complex relationships between precipitation and other meteorological variables.MethodsThis paper presents acomprehensive analysis of the use of multivariable statistical and ML models to predict monthly rainfall at 13 locations in the eastern Amazon. …”
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Analyse de la variabilité climatique et ses impacts sur les ressources en eau dans le bassin versant de l'oued Khemis, Algérie by Ilyas Boursali, Kamila Baba Hamed, Abderrazak Bouanani

“…This study aims to analyze climatic fluctuations in the Oued Khemis watershed, a sub-basin of the Upper Tafna, by utilizing hydrological and rainfall data collected over a 43-year period (1970–2013). Through robust statistical approaches, such as the Pettitt test and the Bayesian method of Lee and Heghinian, the analysis has revealed climatic variability characterized by alternating cycles of wet and dry periods. …”
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Measuring the Degree of ‘Fit’ Within Social‐Ecological Systems to Support Local Flood Risk Decision‐Making by Imogen Hobbs, Valentin Lucet, Jennifer M. Holzer, Julia Baird, Gordon M. Hickey

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Estimation of Weibull distribution parameters to assess the wind energy potential of high altitude sites in the Andean region of Ecuador by Natalia Alexandra Pérez Londo, Darwin Saúl Lema Londo, Rosa Ormaza Hugo, Fabián Londo, Narcisa Sánchez Salcán, Diana Katherine Campoverde-Santos, Dalinda Quingatuña, Julio Coello-Cabezas

“…The results of the statistical analysis indicate that the empirical Lysen method and the maximum likelihood method were the most accurate in determining the Weibull parameters at the study sites. …”
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